{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제12_부정선거\research and politics\data\2.syntax_2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}19 Jul 2024, 14:00:06

{com}. ologit elecvote subjective_class income high_skilled low_skilled education age sex marital religion urban political_orientation i.country_1  i.year,   cl(country_1)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-46615.377}  
Iteration 1:{space 3}log pseudolikelihood = {res:-42934.819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-42879.733}  
Iteration 3:{space 3}log pseudolikelihood = {res:-42879.577}  
Iteration 4:{space 3}log pseudolikelihood = {res:-42879.577}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}    36,360
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(11)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-42879.577{txt}{col 49}Pseudo R2{col 67}= {res}    0.0801

{txt}{ralign 87:(Std. Err. adjusted for {res:40} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             elecvote{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}subjective_class {c |}{col 23}{res}{space 2}-.0742551{col 35}{space 2} .0198228{col 46}{space 1}   -3.75{col 55}{space 3}0.000{col 63}{space 4}-.1131071{col 76}{space 3}-.0354032
{txt}{space 15}income {c |}{col 23}{res}{space 2}-.0663966{col 35}{space 2} .0130526{col 46}{space 1}   -5.09{col 55}{space 3}0.000{col 63}{space 4}-.0919792{col 76}{space 3} -.040814
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2}-.1644998{col 35}{space 2} .0254335{col 46}{space 1}   -6.47{col 55}{space 3}0.000{col 63}{space 4}-.2143484{col 76}{space 3}-.1146511
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2} .0378643{col 35}{space 2} .0418541{col 46}{space 1}    0.90{col 55}{space 3}0.366{col 63}{space 4}-.0441683{col 76}{space 3} .1198968
{txt}{space 12}education {c |}{col 23}{res}{space 2}-.1400965{col 35}{space 2} .0302499{col 46}{space 1}   -4.63{col 55}{space 3}0.000{col 63}{space 4}-.1993853{col 76}{space 3}-.0808077
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0659829{col 35}{space 2} .0170313{col 46}{space 1}   -3.87{col 55}{space 3}0.000{col 63}{space 4}-.0993637{col 76}{space 3}-.0326022
{txt}{space 18}sex {c |}{col 23}{res}{space 2} .2396731{col 35}{space 2} .0333689{col 46}{space 1}    7.18{col 55}{space 3}0.000{col 63}{space 4} .1742713{col 76}{space 3}  .305075
{txt}{space 14}marital {c |}{col 23}{res}{space 2}-.1270623{col 35}{space 2} .0372181{col 46}{space 1}   -3.41{col 55}{space 3}0.001{col 63}{space 4}-.2000084{col 76}{space 3}-.0541161
{txt}{space 13}religion {c |}{col 23}{res}{space 2} .0473271{col 35}{space 2}  .040845{col 46}{space 1}    1.16{col 55}{space 3}0.247{col 63}{space 4}-.0327276{col 76}{space 3} .1273819
{txt}{space 16}urban {c |}{col 23}{res}{space 2} .0128463{col 35}{space 2} .0162809{col 46}{space 1}    0.79{col 55}{space 3}0.430{col 63}{space 4}-.0190638{col 76}{space 3} .0447564
{txt}political_orientation {c |}{col 23}{res}{space 2}-.0319675{col 35}{space 2}  .045309{col 46}{space 1}   -0.71{col 55}{space 3}0.480{col 63}{space 4}-.1207715{col 76}{space 3} .0568364
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AU  {c |}{col 23}{res}{space 2}-.0569838{col 35}{space 2} .0250349{col 46}{space 1}   -2.28{col 55}{space 3}0.023{col 63}{space 4}-.1060512{col 76}{space 3}-.0079163
{txt}{space 18}BE  {c |}{col 23}{res}{space 2} .0975524{col 35}{space 2} .0745957{col 46}{space 1}    1.31{col 55}{space 3}0.191{col 63}{space 4}-.0486525{col 76}{space 3} .2437572
{txt}{space 18}BG  {c |}{col 23}{res}{space 2}  1.41458{col 35}{space 2}  .111151{col 46}{space 1}   12.73{col 55}{space 3}0.000{col 63}{space 4} 1.196728{col 76}{space 3} 1.632432
{txt}{space 18}BR  {c |}{col 23}{res}{space 2}  .499518{col 35}{space 2}  .088409{col 46}{space 1}    5.65{col 55}{space 3}0.000{col 63}{space 4} .3262395{col 76}{space 3} .6727966
{txt}{space 18}CA  {c |}{col 23}{res}{space 2}-.0645636{col 35}{space 2} .0802944{col 46}{space 1}   -0.80{col 55}{space 3}0.421{col 63}{space 4}-.2219378{col 76}{space 3} .0928106
{txt}{space 18}CH  {c |}{col 23}{res}{space 2} -.855631{col 35}{space 2} .0388214{col 46}{space 1}  -22.04{col 55}{space 3}0.000{col 63}{space 4}-.9317195{col 76}{space 3}-.7795425
{txt}{space 18}CL  {c |}{col 23}{res}{space 2} .0246463{col 35}{space 2} .0892874{col 46}{space 1}    0.28{col 55}{space 3}0.783{col 63}{space 4}-.1503539{col 76}{space 3} .1996464
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2} .3978161{col 35}{space 2} .0305198{col 46}{space 1}   13.03{col 55}{space 3}0.000{col 63}{space 4} .3379983{col 76}{space 3} .4576339
{txt}{space 18}DE  {c |}{col 23}{res}{space 2}-.2983111{col 35}{space 2}  .028424{col 46}{space 1}  -10.50{col 55}{space 3}0.000{col 63}{space 4}-.3540211{col 76}{space 3}-.2426011
{txt}{space 18}DK  {c |}{col 23}{res}{space 2} -1.44783{col 35}{space 2}  .039298{col 46}{space 1}  -36.84{col 55}{space 3}0.000{col 63}{space 4}-1.524852{col 76}{space 3}-1.370807
{txt}{space 18}ES  {c |}{col 23}{res}{space 2}-.2616843{col 35}{space 2}  .033067{col 46}{space 1}   -7.91{col 55}{space 3}0.000{col 63}{space 4}-.3264945{col 76}{space 3}-.1968741
{txt}{space 18}FI  {c |}{col 23}{res}{space 2}-1.368349{col 35}{space 2} .0396245{col 46}{space 1}  -34.53{col 55}{space 3}0.000{col 63}{space 4}-1.446012{col 76}{space 3}-1.290687
{txt}{space 18}FR  {c |}{col 23}{res}{space 2}-.2287524{col 35}{space 2}  .025401{col 46}{space 1}   -9.01{col 55}{space 3}0.000{col 63}{space 4}-.2785374{col 76}{space 3}-.1789674
{txt}{space 18}GE  {c |}{col 23}{res}{space 2} .5838098{col 35}{space 2} .0903033{col 46}{space 1}    6.46{col 55}{space 3}0.000{col 63}{space 4} .4068186{col 76}{space 3}  .760801
{txt}{space 18}HR  {c |}{col 23}{res}{space 2} .9056326{col 35}{space 2} .0770647{col 46}{space 1}   11.75{col 55}{space 3}0.000{col 63}{space 4} .7545884{col 76}{space 3} 1.056677
{txt}{space 18}HU  {c |}{col 23}{res}{space 2} .0803181{col 35}{space 2}  .076911{col 46}{space 1}    1.04{col 55}{space 3}0.296{col 63}{space 4}-.0704248{col 76}{space 3}  .231061
{txt}{space 18}IE  {c |}{col 23}{res}{space 2}-.2979023{col 35}{space 2} .0803957{col 46}{space 1}   -3.71{col 55}{space 3}0.000{col 63}{space 4}-.4554749{col 76}{space 3}-.1403297
{txt}{space 18}IN  {c |}{col 23}{res}{space 2} .0557978{col 35}{space 2} .0931628{col 46}{space 1}    0.60{col 55}{space 3}0.549{col 63}{space 4}-.1267981{col 76}{space 3} .2383936
{txt}{space 18}IS  {c |}{col 23}{res}{space 2}-.6112386{col 35}{space 2} .0812815{col 46}{space 1}   -7.52{col 55}{space 3}0.000{col 63}{space 4}-.7705474{col 76}{space 3}-.4519298
{txt}{space 18}JP  {c |}{col 23}{res}{space 2} .5323484{col 35}{space 2} .0393276{col 46}{space 1}   13.54{col 55}{space 3}0.000{col 63}{space 4} .4552678{col 76}{space 3}  .609429
{txt}{space 18}KR  {c |}{col 23}{res}{space 2} .3870051{col 35}{space 2}  .030988{col 46}{space 1}   12.49{col 55}{space 3}0.000{col 63}{space 4} .3262697{col 76}{space 3} .4477405
{txt}{space 18}LT  {c |}{col 23}{res}{space 2} 1.265546{col 35}{space 2} .0765998{col 46}{space 1}   16.52{col 55}{space 3}0.000{col 63}{space 4} 1.115413{col 76}{space 3} 1.415679
{txt}{space 18}LV  {c |}{col 23}{res}{space 2} .9796243{col 35}{space 2} .0978866{col 46}{space 1}   10.01{col 55}{space 3}0.000{col 63}{space 4} .7877701{col 76}{space 3} 1.171479
{txt}{space 18}MX  {c |}{col 23}{res}{space 2} .4433251{col 35}{space 2} .0773317{col 46}{space 1}    5.73{col 55}{space 3}0.000{col 63}{space 4} .2917576{col 76}{space 3} .5948925
{txt}{space 18}NL  {c |}{col 23}{res}{space 2}-.5341503{col 35}{space 2} .0252529{col 46}{space 1}  -21.15{col 55}{space 3}0.000{col 63}{space 4} -.583645{col 76}{space 3}-.4846555
{txt}{space 18}NO  {c |}{col 23}{res}{space 2}-1.034808{col 35}{space 2} .0291271{col 46}{space 1}  -35.53{col 55}{space 3}0.000{col 63}{space 4}-1.091896{col 76}{space 3}-.9777196
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2}-.5214215{col 35}{space 2}  .081447{col 46}{space 1}   -6.40{col 55}{space 3}0.000{col 63}{space 4}-.6810547{col 76}{space 3}-.3617884
{txt}{space 18}PH  {c |}{col 23}{res}{space 2} 1.170899{col 35}{space 2} .0461414{col 46}{space 1}   25.38{col 55}{space 3}0.000{col 63}{space 4} 1.080464{col 76}{space 3} 1.261335
{txt}{space 18}PL  {c |}{col 23}{res}{space 2} 1.077218{col 35}{space 2}  .041876{col 46}{space 1}   25.72{col 55}{space 3}0.000{col 63}{space 4} .9951423{col 76}{space 3} 1.159293
{txt}{space 18}PT  {c |}{col 23}{res}{space 2} .2789265{col 35}{space 2} .0813932{col 46}{space 1}    3.43{col 55}{space 3}0.001{col 63}{space 4} .1193988{col 76}{space 3} .4384541
{txt}{space 18}RU  {c |}{col 23}{res}{space 2} 1.061575{col 35}{space 2} .0800499{col 46}{space 1}   13.26{col 55}{space 3}0.000{col 63}{space 4} .9046799{col 76}{space 3}  1.21847
{txt}{space 18}SE  {c |}{col 23}{res}{space 2}-.9214362{col 35}{space 2} .0257859{col 46}{space 1}  -35.73{col 55}{space 3}0.000{col 63}{space 4}-.9719757{col 76}{space 3}-.8708968
{txt}{space 18}SI  {c |}{col 23}{res}{space 2} .6542151{col 35}{space 2} .0293707{col 46}{space 1}   22.27{col 55}{space 3}0.000{col 63}{space 4} .5966496{col 76}{space 3} .7117806
{txt}{space 18}SK  {c |}{col 23}{res}{space 2} .6136989{col 35}{space 2} .0336201{col 46}{space 1}   18.25{col 55}{space 3}0.000{col 63}{space 4} .5478047{col 76}{space 3}  .679593
{txt}{space 18}TR  {c |}{col 23}{res}{space 2} .9109848{col 35}{space 2} .0879718{col 46}{space 1}   10.36{col 55}{space 3}0.000{col 63}{space 4} .7385631{col 76}{space 3} 1.083406
{txt}{space 18}US  {c |}{col 23}{res}{space 2}  1.33149{col 35}{space 2} .0719286{col 46}{space 1}   18.51{col 55}{space 3}0.000{col 63}{space 4} 1.190513{col 76}{space 3} 1.472468
{txt}{space 18}UY  {c |}{col 23}{res}{space 2} .1423449{col 35}{space 2} .0806881{col 46}{space 1}    1.76{col 55}{space 3}0.078{col 63}{space 4}-.0158008{col 76}{space 3} .3004906
{txt}{space 18}VE  {c |}{col 23}{res}{space 2} .5346416{col 35}{space 2} .0868829{col 46}{space 1}    6.15{col 55}{space 3}0.000{col 63}{space 4} .3643542{col 76}{space 3}  .704929
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2}-.2896418{col 35}{space 2} .1117446{col 46}{space 1}   -2.59{col 55}{space 3}0.010{col 63}{space 4}-.5086571{col 76}{space 3}-.0706265
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2014  {c |}{col 23}{res}{space 2} .1552415{col 35}{space 2}  .155209{col 46}{space 1}    1.00{col 55}{space 3}0.317{col 63}{space 4}-.1489626{col 76}{space 3} .4594455
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}-1.679489{col 35}{space 2} .3112136{col 63}{space 4}-2.289457{col 76}{space 3}-1.069522
{txt}                /cut2 {c |}{col 23}{res}{space 2} .1970053{col 35}{space 2} .2651752{col 63}{space 4}-.3227286{col 76}{space 3} .7167392
{txt}                /cut3 {c |}{col 23}{res}{space 2} 1.300396{col 35}{space 2} .2606307{col 63}{space 4} .7895691{col 76}{space 3} 1.811223
{txt}                /cut4 {c |}{col 23}{res}{space 2} 2.619411{col 35}{space 2}  .250582{col 63}{space 4} 2.128279{col 76}{space 3} 3.110543
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_1

. 
. 
. 
. 
. 
. ologit elecvote high_class low_class income high_skilled low_skilled education age sex marital religion urban political_orientation i.country_1  i.year,   cl(country_1)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-46615.377}  
Iteration 1:{space 3}log pseudolikelihood = {res:-42967.394}  
Iteration 2:{space 3}log pseudolikelihood = {res:-42913.244}  
Iteration 3:{space 3}log pseudolikelihood = {res:-42913.093}  
Iteration 4:{space 3}log pseudolikelihood = {res:-42913.093}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}    36,360
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(12)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-42913.093{txt}{col 49}Pseudo R2{col 67}= {res}    0.0794

{txt}{ralign 87:(Std. Err. adjusted for {res:40} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             elecvote{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}high_class {c |}{col 23}{res}{space 2}-.1741778{col 35}{space 2} .0730353{col 46}{space 1}   -2.38{col 55}{space 3}0.017{col 63}{space 4}-.3173243{col 76}{space 3}-.0310313
{txt}{space 12}low_class {c |}{col 23}{res}{space 2}  .171536{col 35}{space 2} .0569226{col 46}{space 1}    3.01{col 55}{space 3}0.003{col 63}{space 4} .0599698{col 76}{space 3} .2831022
{txt}{space 15}income {c |}{col 23}{res}{space 2}-.0737296{col 35}{space 2} .0133629{col 46}{space 1}   -5.52{col 55}{space 3}0.000{col 63}{space 4}-.0999204{col 76}{space 3}-.0475389
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2} -.172925{col 35}{space 2} .0249264{col 46}{space 1}   -6.94{col 55}{space 3}0.000{col 63}{space 4}-.2217799{col 76}{space 3}-.1240701
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2} .0482468{col 35}{space 2} .0427985{col 46}{space 1}    1.13{col 55}{space 3}0.260{col 63}{space 4}-.0356366{col 76}{space 3} .1321302
{txt}{space 12}education {c |}{col 23}{res}{space 2}-.1493185{col 35}{space 2} .0314235{col 46}{space 1}   -4.75{col 55}{space 3}0.000{col 63}{space 4}-.2109075{col 76}{space 3}-.0877295
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0650263{col 35}{space 2} .0169201{col 46}{space 1}   -3.84{col 55}{space 3}0.000{col 63}{space 4} -.098189{col 76}{space 3}-.0318635
{txt}{space 18}sex {c |}{col 23}{res}{space 2} .2376522{col 35}{space 2} .0335518{col 46}{space 1}    7.08{col 55}{space 3}0.000{col 63}{space 4} .1718919{col 76}{space 3} .3034126
{txt}{space 14}marital {c |}{col 23}{res}{space 2}-.1350292{col 35}{space 2} .0373929{col 46}{space 1}   -3.61{col 55}{space 3}0.000{col 63}{space 4}-.2083179{col 76}{space 3}-.0617404
{txt}{space 13}religion {c |}{col 23}{res}{space 2} .0457296{col 35}{space 2} .0407647{col 46}{space 1}    1.12{col 55}{space 3}0.262{col 63}{space 4}-.0341677{col 76}{space 3} .1256268
{txt}{space 16}urban {c |}{col 23}{res}{space 2} .0099908{col 35}{space 2} .0163324{col 46}{space 1}    0.61{col 55}{space 3}0.541{col 63}{space 4}-.0220203{col 76}{space 3} .0420018
{txt}political_orientation {c |}{col 23}{res}{space 2}-.0273409{col 35}{space 2} .0453866{col 46}{space 1}   -0.60{col 55}{space 3}0.547{col 63}{space 4} -.116297{col 76}{space 3} .0616151
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AU  {c |}{col 23}{res}{space 2}-.0250136{col 35}{space 2} .0267627{col 46}{space 1}   -0.93{col 55}{space 3}0.350{col 63}{space 4}-.0774674{col 76}{space 3} .0274403
{txt}{space 18}BE  {c |}{col 23}{res}{space 2} .1233191{col 35}{space 2} .0732264{col 46}{space 1}    1.68{col 55}{space 3}0.092{col 63}{space 4} -.020202{col 76}{space 3} .2668402
{txt}{space 18}BG  {c |}{col 23}{res}{space 2} 1.491083{col 35}{space 2} .1144922{col 46}{space 1}   13.02{col 55}{space 3}0.000{col 63}{space 4} 1.266683{col 76}{space 3} 1.715484
{txt}{space 18}BR  {c |}{col 23}{res}{space 2} .5509494{col 35}{space 2} .0865452{col 46}{space 1}    6.37{col 55}{space 3}0.000{col 63}{space 4}  .381324{col 76}{space 3} .7205748
{txt}{space 18}CA  {c |}{col 23}{res}{space 2}-.0310642{col 35}{space 2} .0811851{col 46}{space 1}   -0.38{col 55}{space 3}0.702{col 63}{space 4} -.190184{col 76}{space 3} .1280557
{txt}{space 18}CH  {c |}{col 23}{res}{space 2}  -.84023{col 35}{space 2}    .0375{col 46}{space 1}  -22.41{col 55}{space 3}0.000{col 63}{space 4}-.9137285{col 76}{space 3}-.7667314
{txt}{space 18}CL  {c |}{col 23}{res}{space 2} .0867658{col 35}{space 2} .0840258{col 46}{space 1}    1.03{col 55}{space 3}0.302{col 63}{space 4}-.0779217{col 76}{space 3} .2514532
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2} .4599524{col 35}{space 2} .0238733{col 46}{space 1}   19.27{col 55}{space 3}0.000{col 63}{space 4} .4131615{col 76}{space 3} .5067433
{txt}{space 18}DE  {c |}{col 23}{res}{space 2}-.2837037{col 35}{space 2} .0274946{col 46}{space 1}  -10.32{col 55}{space 3}0.000{col 63}{space 4} -.337592{col 76}{space 3}-.2298154
{txt}{space 18}DK  {c |}{col 23}{res}{space 2}-1.432502{col 35}{space 2} .0387222{col 46}{space 1}  -36.99{col 55}{space 3}0.000{col 63}{space 4}-1.508396{col 76}{space 3}-1.356608
{txt}{space 18}ES  {c |}{col 23}{res}{space 2}-.2020716{col 35}{space 2} .0248477{col 46}{space 1}   -8.13{col 55}{space 3}0.000{col 63}{space 4}-.2507722{col 76}{space 3}-.1533709
{txt}{space 18}FI  {c |}{col 23}{res}{space 2}-1.330134{col 35}{space 2} .0351094{col 46}{space 1}  -37.89{col 55}{space 3}0.000{col 63}{space 4}-1.398947{col 76}{space 3}-1.261321
{txt}{space 18}FR  {c |}{col 23}{res}{space 2}-.1809702{col 35}{space 2} .0216654{col 46}{space 1}   -8.35{col 55}{space 3}0.000{col 63}{space 4}-.2234336{col 76}{space 3}-.1385068
{txt}{space 18}GE  {c |}{col 23}{res}{space 2} .6709287{col 35}{space 2} .0851161{col 46}{space 1}    7.88{col 55}{space 3}0.000{col 63}{space 4} .5041043{col 76}{space 3} .8377532
{txt}{space 18}HR  {c |}{col 23}{res}{space 2} .9612491{col 35}{space 2} .0750086{col 46}{space 1}   12.82{col 55}{space 3}0.000{col 63}{space 4}  .814235{col 76}{space 3} 1.108263
{txt}{space 18}HU  {c |}{col 23}{res}{space 2}  .153263{col 35}{space 2} .0732892{col 46}{space 1}    2.09{col 55}{space 3}0.037{col 63}{space 4} .0096187{col 76}{space 3} .2969073
{txt}{space 18}IE  {c |}{col 23}{res}{space 2}-.2824232{col 35}{space 2} .0804931{col 46}{space 1}   -3.51{col 55}{space 3}0.000{col 63}{space 4}-.4401868{col 76}{space 3}-.1246596
{txt}{space 18}IN  {c |}{col 23}{res}{space 2} .0638339{col 35}{space 2} .0920486{col 46}{space 1}    0.69{col 55}{space 3}0.488{col 63}{space 4}-.1165779{col 76}{space 3} .2442458
{txt}{space 18}IS  {c |}{col 23}{res}{space 2} -.587547{col 35}{space 2} .0805451{col 46}{space 1}   -7.29{col 55}{space 3}0.000{col 63}{space 4}-.7454124{col 76}{space 3}-.4296816
{txt}{space 18}JP  {c |}{col 23}{res}{space 2} .5890303{col 35}{space 2}  .036618{col 46}{space 1}   16.09{col 55}{space 3}0.000{col 63}{space 4} .5172604{col 76}{space 3} .6608002
{txt}{space 18}KR  {c |}{col 23}{res}{space 2} .4537485{col 35}{space 2} .0238427{col 46}{space 1}   19.03{col 55}{space 3}0.000{col 63}{space 4} .4070177{col 76}{space 3} .5004793
{txt}{space 18}LT  {c |}{col 23}{res}{space 2} 1.332665{col 35}{space 2} .0761832{col 46}{space 1}   17.49{col 55}{space 3}0.000{col 63}{space 4} 1.183349{col 76}{space 3} 1.481982
{txt}{space 18}LV  {c |}{col 23}{res}{space 2} 1.039702{col 35}{space 2} .0993843{col 46}{space 1}   10.46{col 55}{space 3}0.000{col 63}{space 4} .8449121{col 76}{space 3} 1.234492
{txt}{space 18}MX  {c |}{col 23}{res}{space 2} .5059435{col 35}{space 2} .0757037{col 46}{space 1}    6.68{col 55}{space 3}0.000{col 63}{space 4} .3575669{col 76}{space 3} .6543201
{txt}{space 18}NL  {c |}{col 23}{res}{space 2}-.5184955{col 35}{space 2} .0259266{col 46}{space 1}  -20.00{col 55}{space 3}0.000{col 63}{space 4}-.5693108{col 76}{space 3}-.4676803
{txt}{space 18}NO  {c |}{col 23}{res}{space 2}-1.013538{col 35}{space 2} .0278608{col 46}{space 1}  -36.38{col 55}{space 3}0.000{col 63}{space 4}-1.068144{col 76}{space 3}-.9589318
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2}-.5087207{col 35}{space 2} .0818062{col 46}{space 1}   -6.22{col 55}{space 3}0.000{col 63}{space 4}-.6690578{col 76}{space 3}-.3483835
{txt}{space 18}PH  {c |}{col 23}{res}{space 2} 1.218522{col 35}{space 2} .0458182{col 46}{space 1}   26.59{col 55}{space 3}0.000{col 63}{space 4}  1.12872{col 76}{space 3} 1.308324
{txt}{space 18}PL  {c |}{col 23}{res}{space 2} 1.135283{col 35}{space 2} .0416872{col 46}{space 1}   27.23{col 55}{space 3}0.000{col 63}{space 4} 1.053578{col 76}{space 3} 1.216989
{txt}{space 18}PT  {c |}{col 23}{res}{space 2} .3436897{col 35}{space 2} .0804309{col 46}{space 1}    4.27{col 55}{space 3}0.000{col 63}{space 4} .1860481{col 76}{space 3} .5013314
{txt}{space 18}RU  {c |}{col 23}{res}{space 2} 1.146559{col 35}{space 2} .0758815{col 46}{space 1}   15.11{col 55}{space 3}0.000{col 63}{space 4} .9978344{col 76}{space 3} 1.295285
{txt}{space 18}SE  {c |}{col 23}{res}{space 2} -.900216{col 35}{space 2} .0250721{col 46}{space 1}  -35.91{col 55}{space 3}0.000{col 63}{space 4}-.9493565{col 76}{space 3}-.8510755
{txt}{space 18}SI  {c |}{col 23}{res}{space 2} .7036917{col 35}{space 2} .0290834{col 46}{space 1}   24.20{col 55}{space 3}0.000{col 63}{space 4} .6466893{col 76}{space 3} .7606942
{txt}{space 18}SK  {c |}{col 23}{res}{space 2}   .67198{col 35}{space 2} .0302742{col 46}{space 1}   22.20{col 55}{space 3}0.000{col 63}{space 4} .6126436{col 76}{space 3} .7313164
{txt}{space 18}TR  {c |}{col 23}{res}{space 2} .9623632{col 35}{space 2} .0851563{col 46}{space 1}   11.30{col 55}{space 3}0.000{col 63}{space 4} .7954599{col 76}{space 3} 1.129267
{txt}{space 18}US  {c |}{col 23}{res}{space 2} 1.342577{col 35}{space 2} .0732306{col 46}{space 1}   18.33{col 55}{space 3}0.000{col 63}{space 4} 1.199048{col 76}{space 3} 1.486107
{txt}{space 18}UY  {c |}{col 23}{res}{space 2} .2105963{col 35}{space 2} .0783098{col 46}{space 1}    2.69{col 55}{space 3}0.007{col 63}{space 4} .0571118{col 76}{space 3} .3640808
{txt}{space 18}VE  {c |}{col 23}{res}{space 2} .5848991{col 35}{space 2} .0838113{col 46}{space 1}    6.98{col 55}{space 3}0.000{col 63}{space 4}  .420632{col 76}{space 3} .7491662
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2} -.220924{col 35}{space 2} .1032055{col 46}{space 1}   -2.14{col 55}{space 3}0.032{col 63}{space 4}-.4232031{col 76}{space 3}-.0186448
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2014  {c |}{col 23}{res}{space 2} .1506125{col 35}{space 2} .1545237{col 46}{space 1}    0.97{col 55}{space 3}0.330{col 63}{space 4}-.1522483{col 76}{space 3} .4534733
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}-1.283759{col 35}{space 2} .2408908{col 63}{space 4}-1.755897{col 76}{space 3} -.811622
{txt}                /cut2 {c |}{col 23}{res}{space 2} .5900739{col 35}{space 2} .2018777{col 63}{space 4} .1944009{col 76}{space 3}  .985747
{txt}                /cut3 {c |}{col 23}{res}{space 2} 1.692265{col 35}{space 2} .2122928{col 63}{space 4} 1.276179{col 76}{space 3} 2.108351
{txt}                /cut4 {c |}{col 23}{res}{space 2}  3.01049{col 35}{space 2} .2235805{col 63}{space 4}  2.57228{col 76}{space 3}   3.4487
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_2

. coefplot (model_1), bylabel (Model (a)) || (model_2), bylabel (Model (b))||, eform omitted xline(1, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2)) keep(subjective_class || high_class || low_class)
{res}
{com}. ologit elecvote subjective_class income high_skilled low_skilled education age sex marital religion urban political_orientation i.country_1  i.year,   cl(country_1)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-46615.377}  
Iteration 1:{space 3}log pseudolikelihood = {res:-42934.819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-42879.733}  
Iteration 3:{space 3}log pseudolikelihood = {res:-42879.577}  
Iteration 4:{space 3}log pseudolikelihood = {res:-42879.577}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}    36,360
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(11)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-42879.577{txt}{col 49}Pseudo R2{col 67}= {res}    0.0801

{txt}{ralign 87:(Std. Err. adjusted for {res:40} clusters in country_1)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             elecvote{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}subjective_class {c |}{col 23}{res}{space 2}-.0742551{col 35}{space 2} .0198228{col 46}{space 1}   -3.75{col 55}{space 3}0.000{col 63}{space 4}-.1131071{col 76}{space 3}-.0354032
{txt}{space 15}income {c |}{col 23}{res}{space 2}-.0663966{col 35}{space 2} .0130526{col 46}{space 1}   -5.09{col 55}{space 3}0.000{col 63}{space 4}-.0919792{col 76}{space 3} -.040814
{txt}{space 9}high_skilled {c |}{col 23}{res}{space 2}-.1644998{col 35}{space 2} .0254335{col 46}{space 1}   -6.47{col 55}{space 3}0.000{col 63}{space 4}-.2143484{col 76}{space 3}-.1146511
{txt}{space 10}low_skilled {c |}{col 23}{res}{space 2} .0378643{col 35}{space 2} .0418541{col 46}{space 1}    0.90{col 55}{space 3}0.366{col 63}{space 4}-.0441683{col 76}{space 3} .1198968
{txt}{space 12}education {c |}{col 23}{res}{space 2}-.1400965{col 35}{space 2} .0302499{col 46}{space 1}   -4.63{col 55}{space 3}0.000{col 63}{space 4}-.1993853{col 76}{space 3}-.0808077
{txt}{space 18}age {c |}{col 23}{res}{space 2}-.0659829{col 35}{space 2} .0170313{col 46}{space 1}   -3.87{col 55}{space 3}0.000{col 63}{space 4}-.0993637{col 76}{space 3}-.0326022
{txt}{space 18}sex {c |}{col 23}{res}{space 2} .2396731{col 35}{space 2} .0333689{col 46}{space 1}    7.18{col 55}{space 3}0.000{col 63}{space 4} .1742713{col 76}{space 3}  .305075
{txt}{space 14}marital {c |}{col 23}{res}{space 2}-.1270623{col 35}{space 2} .0372181{col 46}{space 1}   -3.41{col 55}{space 3}0.001{col 63}{space 4}-.2000084{col 76}{space 3}-.0541161
{txt}{space 13}religion {c |}{col 23}{res}{space 2} .0473271{col 35}{space 2}  .040845{col 46}{space 1}    1.16{col 55}{space 3}0.247{col 63}{space 4}-.0327276{col 76}{space 3} .1273819
{txt}{space 16}urban {c |}{col 23}{res}{space 2} .0128463{col 35}{space 2} .0162809{col 46}{space 1}    0.79{col 55}{space 3}0.430{col 63}{space 4}-.0190638{col 76}{space 3} .0447564
{txt}political_orientation {c |}{col 23}{res}{space 2}-.0319675{col 35}{space 2}  .045309{col 46}{space 1}   -0.71{col 55}{space 3}0.480{col 63}{space 4}-.1207715{col 76}{space 3} .0568364
{txt}{space 21} {c |}
{space 12}country_1 {c |}
{space 18}AU  {c |}{col 23}{res}{space 2}-.0569838{col 35}{space 2} .0250349{col 46}{space 1}   -2.28{col 55}{space 3}0.023{col 63}{space 4}-.1060512{col 76}{space 3}-.0079163
{txt}{space 18}BE  {c |}{col 23}{res}{space 2} .0975524{col 35}{space 2} .0745957{col 46}{space 1}    1.31{col 55}{space 3}0.191{col 63}{space 4}-.0486525{col 76}{space 3} .2437572
{txt}{space 18}BG  {c |}{col 23}{res}{space 2}  1.41458{col 35}{space 2}  .111151{col 46}{space 1}   12.73{col 55}{space 3}0.000{col 63}{space 4} 1.196728{col 76}{space 3} 1.632432
{txt}{space 18}BR  {c |}{col 23}{res}{space 2}  .499518{col 35}{space 2}  .088409{col 46}{space 1}    5.65{col 55}{space 3}0.000{col 63}{space 4} .3262395{col 76}{space 3} .6727966
{txt}{space 18}CA  {c |}{col 23}{res}{space 2}-.0645636{col 35}{space 2} .0802944{col 46}{space 1}   -0.80{col 55}{space 3}0.421{col 63}{space 4}-.2219378{col 76}{space 3} .0928106
{txt}{space 18}CH  {c |}{col 23}{res}{space 2} -.855631{col 35}{space 2} .0388214{col 46}{space 1}  -22.04{col 55}{space 3}0.000{col 63}{space 4}-.9317195{col 76}{space 3}-.7795425
{txt}{space 18}CL  {c |}{col 23}{res}{space 2} .0246463{col 35}{space 2} .0892874{col 46}{space 1}    0.28{col 55}{space 3}0.783{col 63}{space 4}-.1503539{col 76}{space 3} .1996464
{txt}{space 18}CZ  {c |}{col 23}{res}{space 2} .3978161{col 35}{space 2} .0305198{col 46}{space 1}   13.03{col 55}{space 3}0.000{col 63}{space 4} .3379983{col 76}{space 3} .4576339
{txt}{space 18}DE  {c |}{col 23}{res}{space 2}-.2983111{col 35}{space 2}  .028424{col 46}{space 1}  -10.50{col 55}{space 3}0.000{col 63}{space 4}-.3540211{col 76}{space 3}-.2426011
{txt}{space 18}DK  {c |}{col 23}{res}{space 2} -1.44783{col 35}{space 2}  .039298{col 46}{space 1}  -36.84{col 55}{space 3}0.000{col 63}{space 4}-1.524852{col 76}{space 3}-1.370807
{txt}{space 18}ES  {c |}{col 23}{res}{space 2}-.2616843{col 35}{space 2}  .033067{col 46}{space 1}   -7.91{col 55}{space 3}0.000{col 63}{space 4}-.3264945{col 76}{space 3}-.1968741
{txt}{space 18}FI  {c |}{col 23}{res}{space 2}-1.368349{col 35}{space 2} .0396245{col 46}{space 1}  -34.53{col 55}{space 3}0.000{col 63}{space 4}-1.446012{col 76}{space 3}-1.290687
{txt}{space 18}FR  {c |}{col 23}{res}{space 2}-.2287524{col 35}{space 2}  .025401{col 46}{space 1}   -9.01{col 55}{space 3}0.000{col 63}{space 4}-.2785374{col 76}{space 3}-.1789674
{txt}{space 18}GE  {c |}{col 23}{res}{space 2} .5838098{col 35}{space 2} .0903033{col 46}{space 1}    6.46{col 55}{space 3}0.000{col 63}{space 4} .4068186{col 76}{space 3}  .760801
{txt}{space 18}HR  {c |}{col 23}{res}{space 2} .9056326{col 35}{space 2} .0770647{col 46}{space 1}   11.75{col 55}{space 3}0.000{col 63}{space 4} .7545884{col 76}{space 3} 1.056677
{txt}{space 18}HU  {c |}{col 23}{res}{space 2} .0803181{col 35}{space 2}  .076911{col 46}{space 1}    1.04{col 55}{space 3}0.296{col 63}{space 4}-.0704248{col 76}{space 3}  .231061
{txt}{space 18}IE  {c |}{col 23}{res}{space 2}-.2979023{col 35}{space 2} .0803957{col 46}{space 1}   -3.71{col 55}{space 3}0.000{col 63}{space 4}-.4554749{col 76}{space 3}-.1403297
{txt}{space 18}IN  {c |}{col 23}{res}{space 2} .0557978{col 35}{space 2} .0931628{col 46}{space 1}    0.60{col 55}{space 3}0.549{col 63}{space 4}-.1267981{col 76}{space 3} .2383936
{txt}{space 18}IS  {c |}{col 23}{res}{space 2}-.6112386{col 35}{space 2} .0812815{col 46}{space 1}   -7.52{col 55}{space 3}0.000{col 63}{space 4}-.7705474{col 76}{space 3}-.4519298
{txt}{space 18}JP  {c |}{col 23}{res}{space 2} .5323484{col 35}{space 2} .0393276{col 46}{space 1}   13.54{col 55}{space 3}0.000{col 63}{space 4} .4552678{col 76}{space 3}  .609429
{txt}{space 18}KR  {c |}{col 23}{res}{space 2} .3870051{col 35}{space 2}  .030988{col 46}{space 1}   12.49{col 55}{space 3}0.000{col 63}{space 4} .3262697{col 76}{space 3} .4477405
{txt}{space 18}LT  {c |}{col 23}{res}{space 2} 1.265546{col 35}{space 2} .0765998{col 46}{space 1}   16.52{col 55}{space 3}0.000{col 63}{space 4} 1.115413{col 76}{space 3} 1.415679
{txt}{space 18}LV  {c |}{col 23}{res}{space 2} .9796243{col 35}{space 2} .0978866{col 46}{space 1}   10.01{col 55}{space 3}0.000{col 63}{space 4} .7877701{col 76}{space 3} 1.171479
{txt}{space 18}MX  {c |}{col 23}{res}{space 2} .4433251{col 35}{space 2} .0773317{col 46}{space 1}    5.73{col 55}{space 3}0.000{col 63}{space 4} .2917576{col 76}{space 3} .5948925
{txt}{space 18}NL  {c |}{col 23}{res}{space 2}-.5341503{col 35}{space 2} .0252529{col 46}{space 1}  -21.15{col 55}{space 3}0.000{col 63}{space 4} -.583645{col 76}{space 3}-.4846555
{txt}{space 18}NO  {c |}{col 23}{res}{space 2}-1.034808{col 35}{space 2} .0291271{col 46}{space 1}  -35.53{col 55}{space 3}0.000{col 63}{space 4}-1.091896{col 76}{space 3}-.9777196
{txt}{space 18}NZ  {c |}{col 23}{res}{space 2}-.5214215{col 35}{space 2}  .081447{col 46}{space 1}   -6.40{col 55}{space 3}0.000{col 63}{space 4}-.6810547{col 76}{space 3}-.3617884
{txt}{space 18}PH  {c |}{col 23}{res}{space 2} 1.170899{col 35}{space 2} .0461414{col 46}{space 1}   25.38{col 55}{space 3}0.000{col 63}{space 4} 1.080464{col 76}{space 3} 1.261335
{txt}{space 18}PL  {c |}{col 23}{res}{space 2} 1.077218{col 35}{space 2}  .041876{col 46}{space 1}   25.72{col 55}{space 3}0.000{col 63}{space 4} .9951423{col 76}{space 3} 1.159293
{txt}{space 18}PT  {c |}{col 23}{res}{space 2} .2789265{col 35}{space 2} .0813932{col 46}{space 1}    3.43{col 55}{space 3}0.001{col 63}{space 4} .1193988{col 76}{space 3} .4384541
{txt}{space 18}RU  {c |}{col 23}{res}{space 2} 1.061575{col 35}{space 2} .0800499{col 46}{space 1}   13.26{col 55}{space 3}0.000{col 63}{space 4} .9046799{col 76}{space 3}  1.21847
{txt}{space 18}SE  {c |}{col 23}{res}{space 2}-.9214362{col 35}{space 2} .0257859{col 46}{space 1}  -35.73{col 55}{space 3}0.000{col 63}{space 4}-.9719757{col 76}{space 3}-.8708968
{txt}{space 18}SI  {c |}{col 23}{res}{space 2} .6542151{col 35}{space 2} .0293707{col 46}{space 1}   22.27{col 55}{space 3}0.000{col 63}{space 4} .5966496{col 76}{space 3} .7117806
{txt}{space 18}SK  {c |}{col 23}{res}{space 2} .6136989{col 35}{space 2} .0336201{col 46}{space 1}   18.25{col 55}{space 3}0.000{col 63}{space 4} .5478047{col 76}{space 3}  .679593
{txt}{space 18}TR  {c |}{col 23}{res}{space 2} .9109848{col 35}{space 2} .0879718{col 46}{space 1}   10.36{col 55}{space 3}0.000{col 63}{space 4} .7385631{col 76}{space 3} 1.083406
{txt}{space 18}US  {c |}{col 23}{res}{space 2}  1.33149{col 35}{space 2} .0719286{col 46}{space 1}   18.51{col 55}{space 3}0.000{col 63}{space 4} 1.190513{col 76}{space 3} 1.472468
{txt}{space 18}UY  {c |}{col 23}{res}{space 2} .1423449{col 35}{space 2} .0806881{col 46}{space 1}    1.76{col 55}{space 3}0.078{col 63}{space 4}-.0158008{col 76}{space 3} .3004906
{txt}{space 18}VE  {c |}{col 23}{res}{space 2} .5346416{col 35}{space 2} .0868829{col 46}{space 1}    6.15{col 55}{space 3}0.000{col 63}{space 4} .3643542{col 76}{space 3}  .704929
{txt}{space 18}ZA  {c |}{col 23}{res}{space 2}-.2896418{col 35}{space 2} .1117446{col 46}{space 1}   -2.59{col 55}{space 3}0.010{col 63}{space 4}-.5086571{col 76}{space 3}-.0706265
{txt}{space 21} {c |}
{space 17}year {c |}
{space 16}2014  {c |}{col 23}{res}{space 2} .1552415{col 35}{space 2}  .155209{col 46}{space 1}    1.00{col 55}{space 3}0.317{col 63}{space 4}-.1489626{col 76}{space 3} .4594455
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}-1.679489{col 35}{space 2} .3112136{col 63}{space 4}-2.289457{col 76}{space 3}-1.069522
{txt}                /cut2 {c |}{col 23}{res}{space 2} .1970053{col 35}{space 2} .2651752{col 63}{space 4}-.3227286{col 76}{space 3} .7167392
{txt}                /cut3 {c |}{col 23}{res}{space 2} 1.300396{col 35}{space 2} .2606307{col 63}{space 4} .7895691{col 76}{space 3} 1.811223
{txt}                /cut4 {c |}{col 23}{res}{space 2} 2.619411{col 35}{space 2}  .250582{col 63}{space 4} 2.128279{col 76}{space 3} 3.110543
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at(subjective_class =(1(1)10))  atmeans noatlegend 
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    36,360
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Pr(elecvote==1), predict(pr outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Pr(elecvote==2), predict(pr outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Pr(elecvote==3), predict(pr outcome(3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Pr(elecvote==4), predict(pr outcome(4))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Pr(elecvote==5), predict(pr outcome(5))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
_predict#_at {c |}
{space 7}1  1  {c |}{col 14}{res}{space 2} .3133965{col 26}{space 2} .0250203{col 37}{space 1}   12.53{col 46}{space 3}0.000{col 54}{space 4} .2643576{col 67}{space 3} .3624354
{txt}{space 7}1  2  {c |}{col 14}{res}{space 2} .3295916{col 26}{space 2} .0215914{col 37}{space 1}   15.26{col 46}{space 3}0.000{col 54}{space 4} .2872732{col 67}{space 3}   .37191
{txt}{space 7}1  3  {c |}{col 14}{res}{space 2} .3462016{col 26}{space 2} .0180545{col 37}{space 1}   19.18{col 46}{space 3}0.000{col 54}{space 4} .3108155{col 67}{space 3} .3815877
{txt}{space 7}1  4  {c |}{col 14}{res}{space 2} .3631953{col 26}{space 2} .0145587{col 37}{space 1}   24.95{col 46}{space 3}0.000{col 54}{space 4} .3346607{col 67}{space 3} .3917298
{txt}{space 7}1  5  {c |}{col 14}{res}{space 2} .3805375{col 26}{space 2} .0114229{col 37}{space 1}   33.31{col 46}{space 3}0.000{col 54}{space 4} .3581491{col 67}{space 3} .4029259
{txt}{space 7}1  6  {c |}{col 14}{res}{space 2} .3981901{col 26}{space 2} .0093421{col 37}{space 1}   42.62{col 46}{space 3}0.000{col 54}{space 4} .3798798{col 67}{space 3} .4165003
{txt}{space 7}1  7  {c |}{col 14}{res}{space 2} .4161114{col 26}{space 2} .0093387{col 37}{space 1}   44.56{col 46}{space 3}0.000{col 54}{space 4} .3978079{col 67}{space 3}  .434415
{txt}{space 7}1  8  {c |}{col 14}{res}{space 2} .4342574{col 26}{space 2} .0115777{col 37}{space 1}   37.51{col 46}{space 3}0.000{col 54}{space 4} .4115654{col 67}{space 3} .4569493
{txt}{space 7}1  9  {c |}{col 14}{res}{space 2} .4525812{col 26}{space 2}  .015172{col 37}{space 1}   29.83{col 46}{space 3}0.000{col 54}{space 4} .4228448{col 67}{space 3} .4823177
{txt}{space 7}1 10  {c |}{col 14}{res}{space 2} .4710346{col 26}{space 2} .0194048{col 37}{space 1}   24.27{col 46}{space 3}0.000{col 54}{space 4} .4330019{col 67}{space 3} .5090673
{txt}{space 7}2  1  {c |}{col 14}{res}{space 2} .4354006{col 26}{space 2} .0214027{col 37}{space 1}   20.34{col 46}{space 3}0.000{col 54}{space 4} .3934521{col 67}{space 3} .4773491
{txt}{space 7}2  2  {c |}{col 14}{res}{space 2} .4329133{col 26}{space 2} .0214262{col 37}{space 1}   20.20{col 46}{space 3}0.000{col 54}{space 4} .3909188{col 67}{space 3} .4749078
{txt}{space 7}2  3  {c |}{col 14}{res}{space 2} .4294872{col 26}{space 2} .0211468{col 37}{space 1}   20.31{col 46}{space 3}0.000{col 54}{space 4} .3880401{col 67}{space 3} .4709342
{txt}{space 7}2  4  {c |}{col 14}{res}{space 2} .4251487{col 26}{space 2} .0205791{col 37}{space 1}   20.66{col 46}{space 3}0.000{col 54}{space 4} .3848144{col 67}{space 3} .4654831
{txt}{space 7}2  5  {c |}{col 14}{res}{space 2} .4199314{col 26}{space 2} .0197686{col 37}{space 1}   21.24{col 46}{space 3}0.000{col 54}{space 4} .3811855{col 67}{space 3} .4586772
{txt}{space 7}2  6  {c |}{col 14}{res}{space 2} .4138747{col 26}{space 2} .0187951{col 37}{space 1}   22.02{col 46}{space 3}0.000{col 54}{space 4} .3770369{col 67}{space 3} .4507124
{txt}{space 7}2  7  {c |}{col 14}{res}{space 2} .4070242{col 26}{space 2} .0177779{col 37}{space 1}   22.89{col 46}{space 3}0.000{col 54}{space 4} .3721801{col 67}{space 3} .4418683
{txt}{space 7}2  8  {c |}{col 14}{res}{space 2} .3994305{col 26}{space 2} .0168805{col 37}{space 1}   23.66{col 46}{space 3}0.000{col 54}{space 4} .3663454{col 67}{space 3} .4325157
{txt}{space 7}2  9  {c |}{col 14}{res}{space 2} .3911489{col 26}{space 2} .0163042{col 37}{space 1}   23.99{col 46}{space 3}0.000{col 54}{space 4} .3591931{col 67}{space 3} .4231046
{txt}{space 7}2 10  {c |}{col 14}{res}{space 2} .3822381{col 26}{space 2} .0162557{col 37}{space 1}   23.51{col 46}{space 3}0.000{col 54}{space 4} .3503774{col 67}{space 3} .4140988
{txt}{space 7}3  1  {c |}{col 14}{res}{space 2} .1510564{col 26}{space 2} .0121976{col 37}{space 1}   12.38{col 46}{space 3}0.000{col 54}{space 4} .1271495{col 67}{space 3} .1749634
{txt}{space 7}3  2  {c |}{col 14}{res}{space 2} .1438444{col 26}{space 2} .0103618{col 37}{space 1}   13.88{col 46}{space 3}0.000{col 54}{space 4} .1235357{col 67}{space 3} .1641531
{txt}{space 7}3  3  {c |}{col 14}{res}{space 2} .1367759{col 26}{space 2} .0087515{col 37}{space 1}   15.63{col 46}{space 3}0.000{col 54}{space 4} .1196234{col 67}{space 3} .1539285
{txt}{space 7}3  4  {c |}{col 14}{res}{space 2} .1298729{col 26}{space 2}  .007461{col 37}{space 1}   17.41{col 46}{space 3}0.000{col 54}{space 4} .1152495{col 67}{space 3} .1444963
{txt}{space 7}3  5  {c |}{col 14}{res}{space 2} .1231538{col 26}{space 2} .0065991{col 37}{space 1}   18.66{col 46}{space 3}0.000{col 54}{space 4} .1102199{col 67}{space 3} .1360877
{txt}{space 7}3  6  {c |}{col 14}{res}{space 2} .1166342{col 26}{space 2} .0062447{col 37}{space 1}   18.68{col 46}{space 3}0.000{col 54}{space 4} .1043948{col 67}{space 3} .1288736
{txt}{space 7}3  7  {c |}{col 14}{res}{space 2} .1103265{col 26}{space 2} .0063793{col 37}{space 1}   17.29{col 46}{space 3}0.000{col 54}{space 4} .0978233{col 67}{space 3} .1228296
{txt}{space 7}3  8  {c |}{col 14}{res}{space 2} .1042404{col 26}{space 2} .0068787{col 37}{space 1}   15.15{col 46}{space 3}0.000{col 54}{space 4} .0907584{col 67}{space 3} .1177224
{txt}{space 7}3  9  {c |}{col 14}{res}{space 2} .0983832{col 26}{space 2} .0075884{col 37}{space 1}   12.96{col 46}{space 3}0.000{col 54}{space 4} .0835103{col 67}{space 3} .1132562
{txt}{space 7}3 10  {c |}{col 14}{res}{space 2} .0927598{col 26}{space 2} .0083856{col 37}{space 1}   11.06{col 46}{space 3}0.000{col 54}{space 4} .0763243{col 67}{space 3} .1091953
{txt}{space 7}4  1  {c |}{col 14}{res}{space 2} .0712472{col 26}{space 2} .0065962{col 37}{space 1}   10.80{col 46}{space 3}0.000{col 54}{space 4} .0583189{col 67}{space 3} .0841756
{txt}{space 7}4  2  {c |}{col 14}{res}{space 2}  .066764{col 26}{space 2} .0057285{col 37}{space 1}   11.65{col 46}{space 3}0.000{col 54}{space 4} .0555364{col 67}{space 3} .0779916
{txt}{space 7}4  3  {c |}{col 14}{res}{space 2} .0625246{col 26}{space 2} .0051306{col 37}{space 1}   12.19{col 46}{space 3}0.000{col 54}{space 4} .0524689{col 67}{space 3} .0725803
{txt}{space 7}4  4  {c |}{col 14}{res}{space 2} .0585207{col 26}{space 2} .0047972{col 37}{space 1}   12.20{col 46}{space 3}0.000{col 54}{space 4} .0491183{col 67}{space 3} .0679231
{txt}{space 7}4  5  {c |}{col 14}{res}{space 2} .0547436{col 26}{space 2} .0046941{col 37}{space 1}   11.66{col 46}{space 3}0.000{col 54}{space 4} .0455434{col 67}{space 3} .0639439
{txt}{space 7}4  6  {c |}{col 14}{res}{space 2} .0511845{col 26}{space 2} .0047628{col 37}{space 1}   10.75{col 46}{space 3}0.000{col 54}{space 4} .0418496{col 67}{space 3} .0605194
{txt}{space 7}4  7  {c |}{col 14}{res}{space 2}  .047834{col 26}{space 2} .0049393{col 37}{space 1}    9.68{col 46}{space 3}0.000{col 54}{space 4} .0381533{col 67}{space 3} .0575148
{txt}{space 7}4  8  {c |}{col 14}{res}{space 2} .0446831{col 26}{space 2} .0051695{col 37}{space 1}    8.64{col 46}{space 3}0.000{col 54}{space 4}  .034551{col 67}{space 3} .0548152
{txt}{space 7}4  9  {c |}{col 14}{res}{space 2} .0417224{col 26}{space 2} .0054151{col 37}{space 1}    7.70{col 46}{space 3}0.000{col 54}{space 4}  .031109{col 67}{space 3} .0523357
{txt}{space 7}4 10  {c |}{col 14}{res}{space 2} .0389427{col 26}{space 2} .0056512{col 37}{space 1}    6.89{col 46}{space 3}0.000{col 54}{space 4} .0278665{col 67}{space 3} .0500188
{txt}{space 7}5  1  {c |}{col 14}{res}{space 2} .0288993{col 26}{space 2} .0040034{col 37}{space 1}    7.22{col 46}{space 3}0.000{col 54}{space 4} .0210527{col 67}{space 3} .0367459
{txt}{space 7}5  2  {c |}{col 14}{res}{space 2} .0268867{col 26}{space 2} .0038212{col 37}{space 1}    7.04{col 46}{space 3}0.000{col 54}{space 4} .0193974{col 67}{space 3} .0343761
{txt}{space 7}5  3  {c |}{col 14}{res}{space 2} .0250107{col 26}{space 2} .0037059{col 37}{space 1}    6.75{col 46}{space 3}0.000{col 54}{space 4} .0177473{col 67}{space 3} .0322741
{txt}{space 7}5  4  {c |}{col 14}{res}{space 2} .0232624{col 26}{space 2} .0036388{col 37}{space 1}    6.39{col 46}{space 3}0.000{col 54}{space 4} .0161305{col 67}{space 3} .0303943
{txt}{space 7}5  5  {c |}{col 14}{res}{space 2} .0216337{col 26}{space 2} .0036035{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4}  .014571{col 67}{space 3} .0286964
{txt}{space 7}5  6  {c |}{col 14}{res}{space 2} .0201166{col 26}{space 2} .0035868{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4} .0130867{col 67}{space 3} .0271465
{txt}{space 7}5  7  {c |}{col 14}{res}{space 2} .0187039{col 26}{space 2} .0035787{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .0116897{col 67}{space 3} .0257181
{txt}{space 7}5  8  {c |}{col 14}{res}{space 2} .0173886{col 26}{space 2} .0035724{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .0103869{col 67}{space 3} .0243903
{txt}{space 7}5  9  {c |}{col 14}{res}{space 2} .0161643{col 26}{space 2} .0035629{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} .0091811{col 67}{space 3} .0231476
{txt}{space 7}5 10  {c |}{col 14}{res}{space 2} .0150249{col 26}{space 2} .0035475{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0080718{col 67}{space 3} .0219779
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot, recastci(rarea)

{text}{p 2 6 2}Variables that uniquely identify margins: subjective_class _outcome{p_end}
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제12_부정선거\research and politics\data\2.syntax_2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}19 Jul 2024, 14:00:53
{txt}{.-}
{smcl}
{txt}{sf}{ul off}